舰船电子工程2012，Vol.32Issue(12)：49-51,79,4.
基于图像匹配的无人机目标定位方法
A Target Location Method for UAV Based on Image Registration
摘要
Abstract
Aiming at there are variations of scale,rotation and illumination between unmanned aerial vehicles(UAV) images and reference images in the process of target location,an image registration method based on improved SIFT algorithm is proposed.In the feature point matching,the quasi-Euclidean distance instead of Europe is as the similarity measure of feature descriptors to improve the SIFT feature matching efficiency,and it matches feature points according to a coarse-to-fine DoG structure.Experimental results show that the presented method is robust under noises,illumination variations and local scene changes.Hence,the method can be used in target location for UAV.关键词
无人机/SIFT/图像匹配/目标定位/准欧式距离Key words
unmanned aerial vehicles/SIFT/image registration/target location/quasi-Euclidean分类
信息技术与安全科学引用本文复制引用
胡海洋,李海林..基于图像匹配的无人机目标定位方法[J].舰船电子工程,2012,32(12):49-51,79,4.基金项目
国家自然基金（编号：11202239）资助 （）
